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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) Facebook, Inc. and its affiliates.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * This source code is licensed under the MIT license found in the</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &quot;GpuIndexIVFPQ.h&quot;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &quot;../IndexFlat.h&quot;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &quot;../IndexIVFPQ.h&quot;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &quot;../ProductQuantizer.h&quot;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;GpuIndexFlat.h&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &quot;GpuResources.h&quot;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &quot;impl/IVFPQ.cuh&quot;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &quot;utils/CopyUtils.cuh&quot;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &quot;utils/DeviceUtils.h&quot;</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;</div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="preprocessor">#include &lt;limits&gt;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;</div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;</div>
<div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a56a552e8c2e29f33c39883145bd7629c">   23</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a56a552e8c2e29f33c39883145bd7629c">GpuIndexIVFPQ::GpuIndexIVFPQ</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;                             <span class="keyword">const</span> <a class="code" href="structfaiss_1_1IndexIVFPQ.html">faiss::IndexIVFPQ</a>* index,</div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;                             <a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html">GpuIndexIVFPQConfig</a> config) :</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html">GpuIndexIVF</a>(resources,</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;                index-&gt;d,</div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;                index-&gt;metric_type,</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;                index-&gt;nlist,</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;                config),</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    ivfpqConfig_(config),</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    subQuantizers_(0),</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;    bitsPerCode_(0),</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    reserveMemoryVecs_(0),</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    index_(nullptr) {</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#ifndef FAISS_USE_FLOAT16</span></div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor"></span>  FAISS_ASSERT(!ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#a9dbbec78d77d90b7b150f543e477cc49">useFloat16LookupTables</a>);</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a8d48f79af9080b55706050244fc24f0e">copyFrom</a>(index);</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;}</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;</div>
<div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a245ae251f48cb435c7db18258c627b0a">   43</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a56a552e8c2e29f33c39883145bd7629c">GpuIndexIVFPQ::GpuIndexIVFPQ</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources,</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;                             <span class="keywordtype">int</span> dims,</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;                             <span class="keywordtype">int</span> nlist,</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;                             <span class="keywordtype">int</span> subQuantizers,</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;                             <span class="keywordtype">int</span> bitsPerCode,</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;                             <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">faiss::MetricType</a> metric,</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;                             <a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html">GpuIndexIVFPQConfig</a> config) :</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html">GpuIndexIVF</a>(resources,</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;                dims,</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;                metric,</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;                nlist,</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;                config),</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    ivfpqConfig_(config),</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    subQuantizers_(subQuantizers),</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    bitsPerCode_(bitsPerCode),</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    reserveMemoryVecs_(0),</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    index_(nullptr) {</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<span class="preprocessor">#ifndef FAISS_USE_FLOAT16</span></div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="preprocessor"></span>  FAISS_ASSERT(!config.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#a9dbbec78d77d90b7b150f543e477cc49">useFloat16LookupTables</a>);</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;  verifySettings_();</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;  <span class="comment">// FIXME make IP work fully</span></div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;  FAISS_ASSERT(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> == faiss::METRIC_L2);</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;  <span class="comment">// We haven&#39;t trained ourselves, so don&#39;t construct the PQ index yet</span></div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a> = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;}</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;GpuIndexIVFPQ::~GpuIndexIVFPQ() {</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;  <span class="keyword">delete</span> index_;</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;}</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a8d48f79af9080b55706050244fc24f0e">   78</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a8d48f79af9080b55706050244fc24f0e">GpuIndexIVFPQ::copyFrom</a>(<span class="keyword">const</span> <a class="code" href="structfaiss_1_1IndexIVFPQ.html">faiss::IndexIVFPQ</a>* index) {</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;  <span class="comment">// FIXME: support this</span></div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;  FAISS_THROW_IF_NOT_MSG(index-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> == faiss::METRIC_L2,</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;                     <span class="stringliteral">&quot;inner product unsupported&quot;</span>);</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#a94c2c171f9a2d27085dea9101067bdf2">GpuIndexIVF::copyFrom</a>(index);</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;  <span class="comment">// Clear out our old data</span></div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;  <span class="keyword">delete</span> index_;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;  index_ = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;  subQuantizers_ = index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a007303be116c8da65b6d058e3fc77d16">pq</a>.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a83600e328893ce5f41fe459f5a3acf41">M</a>;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;  bitsPerCode_ = index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a007303be116c8da65b6d058e3fc77d16">pq</a>.<a class="code" href="structfaiss_1_1ProductQuantizer.html#ac920fea11f02e8407d12cc99a09f5ea5">nbits</a>;</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;  <span class="comment">// We only support this</span></div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;  FAISS_ASSERT(index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a007303be116c8da65b6d058e3fc77d16">pq</a>.<a class="code" href="structfaiss_1_1ProductQuantizer.html#ac920fea11f02e8407d12cc99a09f5ea5">nbits</a> == 8);</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;  FAISS_ASSERT(index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#afd13b471df293ae5a6e895704c69a4c3">by_residual</a>);</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;  FAISS_ASSERT(index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a3093a0a3e128eafce6e0583b75e9662e">polysemous_ht</a> == 0);</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;  verifySettings_();</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;  <span class="comment">// The other index might not be trained</span></div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <span class="keywordflow">if</span> (!index-&gt;<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>) {</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;  }</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;  <span class="comment">// Otherwise, we can populate ourselves from the other index</span></div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;  <span class="comment">// Copy our lists as well</span></div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;  <span class="comment">// The product quantizer must have data in it</span></div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;  FAISS_ASSERT(index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a007303be116c8da65b6d058e3fc77d16">pq</a>.<a class="code" href="structfaiss_1_1ProductQuantizer.html#aab1109a29ba0544358e274d727b23cae">centroids</a>.size() &gt; 0);</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  index_ = <span class="keyword">new</span> <a class="code" href="classfaiss_1_1gpu_1_1IVFPQ.html">IVFPQ</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;                     <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#aaa7dd748e3cbd7ef68f2e384ac503eab">quantizer_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a310b00d4443920a855b11276d488c9a7">getGpuData</a>(),</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;                     subQuantizers_,</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;                     bitsPerCode_,</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;                     (<span class="keywordtype">float</span>*) index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a007303be116c8da65b6d058e3fc77d16">pq</a>.<a class="code" href="structfaiss_1_1ProductQuantizer.html#aab1109a29ba0544358e274d727b23cae">centroids</a>.data(),</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;                     ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFConfig.html#af432221761d48e4753f501208a60264d">indicesOptions</a>,</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;                     ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#a9dbbec78d77d90b7b150f543e477cc49">useFloat16LookupTables</a>,</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;                     <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#af304169eac7781b573f76d545f37b7d9">memorySpace_</a>);</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;  <span class="comment">// Doesn&#39;t make sense to reserve memory here</span></div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;  index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFPQ.html#adcee5dbf48c3cb6b8a67f5f392e155fd">setPrecomputedCodes</a>(ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#ae5b5c7acc06743e5bcca197bc33c30ec">usePrecomputedTables</a>);</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;  <span class="comment">// Copy database vectors, if any</span></div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;  <span class="keyword">const</span> <a class="code" href="structfaiss_1_1InvertedLists.html">InvertedLists</a> *ivf = index-&gt;<a class="code" href="structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc">invlists</a>;</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;  <span class="keywordtype">size_t</span> nlist = ivf ? ivf-&gt;<a class="code" href="structfaiss_1_1InvertedLists.html#afaf8b7aa3e846aa4553f6aae67827ec8">nlist</a> : 0;</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; nlist; ++i) {</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <span class="keywordtype">size_t</span> list_size = ivf-&gt;<a class="code" href="structfaiss_1_1InvertedLists.html#a9bd256053ee360473842105460fe285f">list_size</a>(i);</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <span class="comment">// GPU index can only support max int entries per list</span></div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    FAISS_THROW_IF_NOT_FMT(list_size &lt;=</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;                       (<span class="keywordtype">size_t</span>) std::numeric_limits&lt;int&gt;::max(),</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;                       <span class="stringliteral">&quot;GPU inverted list can only support &quot;</span></div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;                       <span class="stringliteral">&quot;%zu entries; %zu found&quot;</span>,</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;                       (<span class="keywordtype">size_t</span>) std::numeric_limits&lt;int&gt;::max(),</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;                       list_size);</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    index_-&gt;addCodeVectorsFromCpu(</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;                       i, ivf-&gt;<a class="code" href="structfaiss_1_1InvertedLists.html#a60b12f9efe940b617a8380adceef4032">get_codes</a>(i), ivf-&gt;<a class="code" href="structfaiss_1_1InvertedLists.html#a3ab6b389d8d85c5fbf23889064df7e95">get_ids</a>(i), list_size);</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;  }</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;}</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#aad10de2407911e9adf42c1be5c5dd390">  142</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#aad10de2407911e9adf42c1be5c5dd390">GpuIndexIVFPQ::copyTo</a>(<a class="code" href="structfaiss_1_1IndexIVFPQ.html">faiss::IndexIVFPQ</a>* index)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;  <span class="comment">// We must have the indices in order to copy to ourselves</span></div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;  FAISS_THROW_IF_NOT_MSG(ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFConfig.html#af432221761d48e4753f501208a60264d">indicesOptions</a> != INDICES_IVF,</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;                     <span class="stringliteral">&quot;Cannot copy to CPU as GPU index doesn&#39;t retain &quot;</span></div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;                     <span class="stringliteral">&quot;indices (INDICES_IVF)&quot;</span>);</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#a1db0a796b8b2917d989952c5f07fbe55">GpuIndexIVF::copyTo</a>(index);</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;  <span class="comment">// IndexIVFPQ information</span></div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;  <span class="comment">//</span></div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#afd13b471df293ae5a6e895704c69a4c3">by_residual</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a1c66ff073c18a1edbe8444c24d870583">use_precomputed_table</a> = 0;</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexIVF.html#a46d1aeddb60643c5b3f096147c3e028f">code_size</a> = subQuantizers_;</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a007303be116c8da65b6d058e3fc77d16">pq</a> = <a class="code" href="structfaiss_1_1ProductQuantizer.html">faiss::ProductQuantizer</a>(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>, subQuantizers_, bitsPerCode_);</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a9d5373633df7a9bec4de69400b9adeed">do_polysemous_training</a> = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a2b14cbb5acb3fc28a4df8fde3f5567cd">polysemous_training</a> = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a7430fc4fa030c96497abced3b68358d4">scan_table_threshold</a> = 0;</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexIVF.html#a7f2dd34f66f8770acba74a0a591fa4a8">max_codes</a> = 0;</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a3093a0a3e128eafce6e0583b75e9662e">polysemous_ht</a> = 0;</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a9b310195d610c3e326471b3758206b59">precomputed_table</a>.clear();</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;  <a class="code" href="structfaiss_1_1InvertedLists.html">InvertedLists</a> *ivf = <span class="keyword">new</span> <a class="code" href="structfaiss_1_1ArrayInvertedLists.html">ArrayInvertedLists</a>(</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;      <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#aba606c141e714fab843493cc58167494">nlist_</a>, index-&gt;<a class="code" href="structfaiss_1_1IndexIVF.html#a46d1aeddb60643c5b3f096147c3e028f">code_size</a>);</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;  index-&gt;<a class="code" href="structfaiss_1_1IndexIVF.html#a4eb943aeb7df30d44ad9b665452bfcf7">replace_invlists</a>(ivf, <span class="keyword">true</span>);</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;  <span class="keywordflow">if</span> (index_) {</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;    <span class="comment">// Copy the inverted lists</span></div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#aba606c141e714fab843493cc58167494">nlist_</a>; ++i) {</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;      <span class="keyword">auto</span> ids = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a5235cf241ef98e6012fd01907ec705d0">getListIndices</a>(i);</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;      <span class="keyword">auto</span> codes = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a98f0000872701f9f23ac2073723a0aa7">getListCodes</a>(i);</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;      index-&gt;<a class="code" href="structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc">invlists</a>-&gt;add_entries (i, ids.size(), ids.data(), codes.data());</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    }</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    <span class="comment">// Copy PQ centroids</span></div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    <span class="keyword">auto</span> devPQCentroids = index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFPQ.html#a3e8bff50f894c243c62e832f923e88e7">getPQCentroids</a>();</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a007303be116c8da65b6d058e3fc77d16">pq</a>.<a class="code" href="structfaiss_1_1ProductQuantizer.html#aab1109a29ba0544358e274d727b23cae">centroids</a>.resize(devPQCentroids.numElements());</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    fromDevice&lt;float, 3&gt;(devPQCentroids,</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;                         index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#a007303be116c8da65b6d058e3fc77d16">pq</a>.<a class="code" href="structfaiss_1_1ProductQuantizer.html#aab1109a29ba0544358e274d727b23cae">centroids</a>.data(),</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;                         <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a6c564198df6ba675920c993e2af34b8c">getDefaultStream</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>));</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    <span class="keywordflow">if</span> (ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#ae5b5c7acc06743e5bcca197bc33c30ec">usePrecomputedTables</a>) {</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;      index-&gt;<a class="code" href="structfaiss_1_1IndexIVFPQ.html#ad99c215aeaf92e995cb97f4044c4d267">precompute_table</a>();</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;    }</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;  }</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;}</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a4e7d62e21f7e23fa4e94c69131389eea">  196</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a4e7d62e21f7e23fa4e94c69131389eea">GpuIndexIVFPQ::reserveMemory</a>(<span class="keywordtype">size_t</span> numVecs) {</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;  reserveMemoryVecs_ = numVecs;</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;  <span class="keywordflow">if</span> (index_) {</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;    index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFBase.html#a02e1e2d080ee31bf7835f89b9f2a13a9">reserveMemory</a>(numVecs);</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;  }</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;}</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#afda2894c0ce520e0d3d06eeca5ed5f0c">  205</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#afda2894c0ce520e0d3d06eeca5ed5f0c">GpuIndexIVFPQ::setPrecomputedCodes</a>(<span class="keywordtype">bool</span> enable) {</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;  ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#ae5b5c7acc06743e5bcca197bc33c30ec">usePrecomputedTables</a> = enable;</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;  <span class="keywordflow">if</span> (index_) {</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFPQ.html#adcee5dbf48c3cb6b8a67f5f392e155fd">setPrecomputedCodes</a>(enable);</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;  }</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;  verifySettings_();</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;}</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;<span class="keywordtype">bool</span></div>
<div class="line"><a name="l00216"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a679b0aaa229d571aeb842673e3493cc5">  216</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a679b0aaa229d571aeb842673e3493cc5">GpuIndexIVFPQ::getPrecomputedCodes</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;  <span class="keywordflow">return</span> ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#ae5b5c7acc06743e5bcca197bc33c30ec">usePrecomputedTables</a>;</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;}</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;<span class="keywordtype">int</span></div>
<div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a3869ea7898487334fb67ee499f38988d">  221</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a3869ea7898487334fb67ee499f38988d">GpuIndexIVFPQ::getNumSubQuantizers</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;  <span class="keywordflow">return</span> subQuantizers_;</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;}</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;<span class="keywordtype">int</span></div>
<div class="line"><a name="l00226"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#af87058de254e1430587a16b76f1e4377">  226</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#af87058de254e1430587a16b76f1e4377">GpuIndexIVFPQ::getBitsPerCode</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;  <span class="keywordflow">return</span> bitsPerCode_;</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;}</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;<span class="keywordtype">int</span></div>
<div class="line"><a name="l00231"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a2f50e79af6727962cd89534438d4769e">  231</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a2f50e79af6727962cd89534438d4769e">GpuIndexIVFPQ::getCentroidsPerSubQuantizer</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;  <span class="keywordflow">return</span> utils::pow2(bitsPerCode_);</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;}</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;<span class="keywordtype">size_t</span></div>
<div class="line"><a name="l00236"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a83831088d9593f753560965172ccb0a0">  236</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a83831088d9593f753560965172ccb0a0">GpuIndexIVFPQ::reclaimMemory</a>() {</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;  <span class="keywordflow">if</span> (index_) {</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <span class="keywordflow">return</span> index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFBase.html#ac9b69e1b2582cb2c064b5fff60d31cc8">reclaimMemory</a>();</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;  }</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;  <span class="keywordflow">return</span> 0;</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;}</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00246"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a3a43a70461e09ef87bdb7b48ec420dd2">  246</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a3a43a70461e09ef87bdb7b48ec420dd2">GpuIndexIVFPQ::reset</a>() {</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;  <span class="keywordflow">if</span> (index_) {</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFBase.html#a7ea671876443c93436499ad581f16997">reset</a>();</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;    this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> = 0;</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    FAISS_ASSERT(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> == 0);</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;  }</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;}</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;GpuIndexIVFPQ::trainResidualQuantizer_(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x) {</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;  <span class="comment">// Code largely copied from faiss::IndexIVFPQ</span></div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;  <span class="comment">// FIXME: GPUize more of this</span></div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;  n = std::min(n, (<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>) (1 &lt;&lt; bitsPerCode_) * 64);</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;  <span class="keywordflow">if</span> (this-&gt;<a class="code" href="structfaiss_1_1Index.html#a5590d847c5c2b958affd2a05e58a6f23">verbose</a>) {</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    printf(<span class="stringliteral">&quot;computing residuals\n&quot;</span>);</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;  }</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;  std::vector&lt;Index::idx_t&gt; <a class="code" href="structfaiss_1_1Index.html#a8bc5d8d1cd0dd7b34b3c98a9f76b4a9c">assign</a>(n);</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#aaa7dd748e3cbd7ef68f2e384ac503eab">quantizer_</a>-&gt;<a class="code" href="structfaiss_1_1Index.html#a8bc5d8d1cd0dd7b34b3c98a9f76b4a9c">assign</a> (n, x, <a class="code" href="structfaiss_1_1Index.html#a8bc5d8d1cd0dd7b34b3c98a9f76b4a9c">assign</a>.data());</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;  std::vector&lt;float&gt; residuals(n * <a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>);</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;  <span class="keywordflow">for</span> (idx_t i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#aaa7dd748e3cbd7ef68f2e384ac503eab">quantizer_</a>-&gt;<a class="code" href="structfaiss_1_1Index.html#aaae77608bbda70b1098897e9167a82f9">compute_residual</a>(x + i * <a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>, &amp;residuals[i * d], <a class="code" href="structfaiss_1_1Index.html#a8bc5d8d1cd0dd7b34b3c98a9f76b4a9c">assign</a>[i]);</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;  }</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;  <span class="keywordflow">if</span> (this-&gt;<a class="code" href="structfaiss_1_1Index.html#a5590d847c5c2b958affd2a05e58a6f23">verbose</a>) {</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    printf(<span class="stringliteral">&quot;training %d x %d product quantizer on %ld vectors in %dD\n&quot;</span>,</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;           subQuantizers_, <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a2f50e79af6727962cd89534438d4769e">getCentroidsPerSubQuantizer</a>(), n, this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>);</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;  }</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;  <span class="comment">// Just use the CPU product quantizer to determine sub-centroids</span></div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;  <a class="code" href="structfaiss_1_1ProductQuantizer.html">faiss::ProductQuantizer</a> pq(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>, subQuantizers_, bitsPerCode_);</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;  pq.verbose = this-&gt;<a class="code" href="structfaiss_1_1Index.html#a5590d847c5c2b958affd2a05e58a6f23">verbose</a>;</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;  pq.train(n, residuals.data());</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;  index_ = <span class="keyword">new</span> IVFPQ(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;                     <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#aaa7dd748e3cbd7ef68f2e384ac503eab">quantizer_</a>-&gt;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a310b00d4443920a855b11276d488c9a7">getGpuData</a>(),</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;                     subQuantizers_,</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;                     bitsPerCode_,</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;                     pq.centroids.data(),</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;                     ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFConfig.html#af432221761d48e4753f501208a60264d">indicesOptions</a>,</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;                     ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#a9dbbec78d77d90b7b150f543e477cc49">useFloat16LookupTables</a>,</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;                     <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#af304169eac7781b573f76d545f37b7d9">memorySpace_</a>);</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;  <span class="keywordflow">if</span> (reserveMemoryVecs_) {</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFBase.html#a02e1e2d080ee31bf7835f89b9f2a13a9">reserveMemory</a>(reserveMemoryVecs_);</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;  }</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;  index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFPQ.html#adcee5dbf48c3cb6b8a67f5f392e155fd">setPrecomputedCodes</a>(ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#ae5b5c7acc06743e5bcca197bc33c30ec">usePrecomputedTables</a>);</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;}</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00302"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#ac4814acafa4bc340a4c4bdcafd469b56">  302</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#ac4814acafa4bc340a4c4bdcafd469b56">GpuIndexIVFPQ::train</a>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x) {</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;  <span class="keywordflow">if</span> (this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>) {</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;    FAISS_ASSERT(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#aaa7dd748e3cbd7ef68f2e384ac503eab">quantizer_</a>-&gt;<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>);</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;    FAISS_ASSERT(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#aaa7dd748e3cbd7ef68f2e384ac503eab">quantizer_</a>-&gt;<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> == <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#aba606c141e714fab843493cc58167494">nlist_</a>);</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;    FAISS_ASSERT(index_);</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;  }</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;  FAISS_ASSERT(!index_);</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;  trainQuantizer_(n, x);</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;  trainResidualQuantizer_(n, x);</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;  FAISS_ASSERT(index_);</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;  this-&gt;<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;}</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00323"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#aa0468cf70921073b3ba798fe753531eb">  323</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#aa0468cf70921073b3ba798fe753531eb">GpuIndexIVFPQ::addImpl_</a>(<span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;                        <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;                        <span class="keyword">const</span> <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* xids) {</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;  <span class="comment">// Device is already set in GpuIndex::add</span></div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;  FAISS_ASSERT(index_);</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;  FAISS_ASSERT(n &gt; 0);</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;  <span class="comment">// Data is already resident on the GPU</span></div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;float, 2, true&gt;</a> data(const_cast&lt;float*&gt;(x), {n, (int) this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>});</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;  static_assert(<span class="keyword">sizeof</span>(<span class="keywordtype">long</span>) == <span class="keyword">sizeof</span>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>), <span class="stringliteral">&quot;size mismatch&quot;</span>);</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;long, 1, true&gt;</a> labels(const_cast&lt;long*&gt;(xids), {n});</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;</div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;  <span class="comment">// Not all vectors may be able to be added (some may contain NaNs etc)</span></div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;  index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFPQ.html#ab1e07b04b25569cc58c5f3f033f4dab3">classifyAndAddVectors</a>(data, labels);</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;  <span class="comment">// but keep the ntotal based on the total number of vectors that we attempted</span></div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;  <span class="comment">// to add</span></div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;  <a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> += n;</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;}</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00345"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a73a06501e87117e5f620bb07d7c1e54d">  345</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a73a06501e87117e5f620bb07d7c1e54d">GpuIndexIVFPQ::searchImpl_</a>(<span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;                           <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;                           <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;                           <span class="keywordtype">float</span>* distances,</div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;                           <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* labels)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;  <span class="comment">// Device is already set in GpuIndex::search</span></div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;  FAISS_ASSERT(index_);</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;  FAISS_ASSERT(n &gt; 0);</div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;</div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;  <span class="comment">// Data is already resident on the GPU</span></div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;float, 2, true&gt;</a> queries(const_cast&lt;float*&gt;(x), {n, (int) this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>});</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;float, 2, true&gt;</a> outDistances(distances, {n, k});</div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;  static_assert(<span class="keyword">sizeof</span>(<span class="keywordtype">long</span>) == <span class="keyword">sizeof</span>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>), <span class="stringliteral">&quot;size mismatch&quot;</span>);</div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;long, 2, true&gt;</a> outLabels(const_cast&lt;long*&gt;(labels), {n, k});</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;  index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFPQ.html#ab0c458aab9a3d903f31b0e63ce16e623">query</a>(queries, <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#a187bdcbbac02bf8fd0e6bb40a1c0426b">nprobe_</a>, k, outDistances, outLabels);</div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;}</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;</div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;<span class="keywordtype">int</span></div>
<div class="line"><a name="l00365"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#ab7f77961857e560b4dbb81888a8c8bf8">  365</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#ab7f77961857e560b4dbb81888a8c8bf8">GpuIndexIVFPQ::getListLength</a>(<span class="keywordtype">int</span> listId)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;  FAISS_ASSERT(index_);</div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;  <span class="keywordflow">return</span> index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFBase.html#a7b1ee21f9919fb077db5e48e91943582">getListLength</a>(listId);</div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;}</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;std::vector&lt;unsigned char&gt;</div>
<div class="line"><a name="l00371"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a98f0000872701f9f23ac2073723a0aa7">  371</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a98f0000872701f9f23ac2073723a0aa7">GpuIndexIVFPQ::getListCodes</a>(<span class="keywordtype">int</span> listId)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;  FAISS_ASSERT(index_);</div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;  <span class="keywordflow">return</span> index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFPQ.html#a5b349dd021b11b5f48531825359b0657">getListCodes</a>(listId);</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;}</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;</div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;std::vector&lt;long&gt;</div>
<div class="line"><a name="l00379"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a5235cf241ef98e6012fd01907ec705d0">  379</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a5235cf241ef98e6012fd01907ec705d0">GpuIndexIVFPQ::getListIndices</a>(<span class="keywordtype">int</span> listId)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;  FAISS_ASSERT(index_);</div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;</div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;  <span class="keywordflow">return</span> index_-&gt;<a class="code" href="classfaiss_1_1gpu_1_1IVFBase.html#a4a4ed220b9433aa788ed32db8f20a9db">getListIndices</a>(listId);</div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;}</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;GpuIndexIVFPQ::verifySettings_()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;  <span class="comment">// Our implementation has these restrictions:</span></div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;</div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;  <span class="comment">// Must have some number of lists</span></div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;  FAISS_THROW_IF_NOT_MSG(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#aba606c141e714fab843493cc58167494">nlist_</a> &gt; 0, <span class="stringliteral">&quot;nlist must be &gt;0&quot;</span>);</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;  <span class="comment">// up to a single byte per code</span></div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;  FAISS_THROW_IF_NOT_FMT(bitsPerCode_ &lt;= 8,</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;                     <span class="stringliteral">&quot;Bits per code must be &lt;= 8 (passed %d)&quot;</span>, bitsPerCode_);</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;  <span class="comment">// Sub-quantizers must evenly divide dimensions available</span></div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;  FAISS_THROW_IF_NOT_FMT(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> % subQuantizers_ == 0,</div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;                     <span class="stringliteral">&quot;Number of sub-quantizers (%d) must be an &quot;</span></div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;                     <span class="stringliteral">&quot;even divisor of the number of dimensions (%d)&quot;</span>,</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;                     subQuantizers_, this-&gt;<a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>);</div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;</div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;  <span class="comment">// The number of bytes per encoded vector must be one we support</span></div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;  FAISS_THROW_IF_NOT_FMT(<a class="code" href="classfaiss_1_1gpu_1_1IVFPQ.html#adb58eeacdceb0e0fde1820ca7f116e05">IVFPQ::isSupportedPQCodeLength</a>(subQuantizers_),</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;                     <span class="stringliteral">&quot;Number of bytes per encoded vector / sub-quantizers (%d) &quot;</span></div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;                     <span class="stringliteral">&quot;is not supported&quot;</span>,</div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;                     subQuantizers_);</div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;</div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;  <span class="comment">// We must have enough shared memory on the current device to store</span></div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;  <span class="comment">// our lookup distances</span></div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;  <span class="keywordtype">int</span> lookupTableSize = <span class="keyword">sizeof</span>(float);</div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;<span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;<span class="preprocessor"></span>  <span class="keywordflow">if</span> (ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#a9dbbec78d77d90b7b150f543e477cc49">useFloat16LookupTables</a>) {</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;    lookupTableSize = <span class="keyword">sizeof</span>(half);</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;  }</div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;  <span class="comment">// 64 bytes per code is only supported with usage of float16, at 2^8</span></div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;  <span class="comment">// codes per subquantizer</span></div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;  <span class="keywordtype">size_t</span> requiredSmemSize =</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;    lookupTableSize * subQuantizers_ * utils::pow2(bitsPerCode_);</div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;  <span class="keywordtype">size_t</span> smemPerBlock = getMaxSharedMemPerBlock(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;  FAISS_THROW_IF_NOT_FMT(requiredSmemSize</div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;                     &lt;= getMaxSharedMemPerBlock(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>),</div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;                     <span class="stringliteral">&quot;Device %d has %zu bytes of shared memory, while &quot;</span></div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;                     <span class="stringliteral">&quot;%d bits per code and %d sub-quantizers requires %zu &quot;</span></div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;                     <span class="stringliteral">&quot;bytes. Consider useFloat16LookupTables and/or &quot;</span></div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;                     <span class="stringliteral">&quot;reduce parameters&quot;</span>,</div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;                     <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>, smemPerBlock, bitsPerCode_, subQuantizers_,</div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;                     requiredSmemSize);</div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;</div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;  <span class="comment">// If precomputed codes are disabled, we have an extra limitation in</span></div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;  <span class="comment">// terms of the number of dimensions per subquantizer</span></div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;  FAISS_THROW_IF_NOT_FMT(ivfpqConfig_.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#ae5b5c7acc06743e5bcca197bc33c30ec">usePrecomputedTables</a> ||</div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;                     <a class="code" href="classfaiss_1_1gpu_1_1IVFPQ.html#a0eedf0295ad73125ee1254173a176674">IVFPQ::isSupportedNoPrecomputedSubDimSize</a>(</div>
<div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;                       this-&gt;d / subQuantizers_),</div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;                     <span class="stringliteral">&quot;Number of dimensions per sub-quantizer (%d) &quot;</span></div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;                     <span class="stringliteral">&quot;is not currently supported without precomputed codes. &quot;</span></div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;                     <span class="stringliteral">&quot;Only 1, 2, 3, 4, 6, 8, 10, 12, 16, 20, 24, 28, 32 dims &quot;</span></div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;                     <span class="stringliteral">&quot;per sub-quantizer are currently supported with no &quot;</span></div>
<div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;                     <span class="stringliteral">&quot;precomputed codes. &quot;</span></div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;                     <span class="stringliteral">&quot;Precomputed codes supports any number of dimensions, but &quot;</span></div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;                     <span class="stringliteral">&quot;will involve memory overheads.&quot;</span>,</div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;                     this-&gt;d / subQuantizers_);</div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;</div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;  <span class="comment">// TODO: fully implement METRIC_INNER_PRODUCT</span></div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;  FAISS_THROW_IF_NOT_MSG(this-&gt;<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> == faiss::METRIC_L2,</div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;                     <span class="stringliteral">&quot;METRIC_INNER_PRODUCT is currently unsupported&quot;</span>);</div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;}</div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;} } <span class="comment">// namespace</span></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_a5235cf241ef98e6012fd01907ec705d0"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a5235cf241ef98e6012fd01907ec705d0">faiss::gpu::GpuIndexIVFPQ::getListIndices</a></div><div class="ttdeci">std::vector&lt; long &gt; getListIndices(int listId) const </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00379">GpuIndexIVFPQ.cu:379</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFPQ_html_ad99c215aeaf92e995cb97f4044c4d267"><div class="ttname"><a href="structfaiss_1_1IndexIVFPQ.html#ad99c215aeaf92e995cb97f4044c4d267">faiss::IndexIVFPQ::precompute_table</a></div><div class="ttdeci">void precompute_table()</div><div class="ttdoc">build precomputed table </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVFPQ_8cpp_source.html#l00363">IndexIVFPQ.cpp:363</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_a3a43a70461e09ef87bdb7b48ec420dd2"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a3a43a70461e09ef87bdb7b48ec420dd2">faiss::gpu::GpuIndexIVFPQ::reset</a></div><div class="ttdeci">void reset() override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00246">GpuIndexIVFPQ.cu:246</a></div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html_ac920fea11f02e8407d12cc99a09f5ea5"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html#ac920fea11f02e8407d12cc99a09f5ea5">faiss::ProductQuantizer::nbits</a></div><div class="ttdeci">size_t nbits</div><div class="ttdoc">number of bits per quantization index </div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8h_source.html#l00029">ProductQuantizer.h:29</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig_html_ae5b5c7acc06743e5bcca197bc33c30ec"><div class="ttname"><a href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#ae5b5c7acc06743e5bcca197bc33c30ec">faiss::gpu::GpuIndexIVFPQConfig::usePrecomputedTables</a></div><div class="ttdeci">bool usePrecomputedTables</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8h_source.html#l00034">GpuIndexIVFPQ.h:34</a></div></div>
<div class="ttc" id="structfaiss_1_1ArrayInvertedLists_html"><div class="ttname"><a href="structfaiss_1_1ArrayInvertedLists.html">faiss::ArrayInvertedLists</a></div><div class="ttdoc">simple (default) implementation as an array of inverted lists </div><div class="ttdef"><b>Definition:</b> <a href="InvertedLists_8h_source.html#l00182">InvertedLists.h:182</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFPQ_html_a2b14cbb5acb3fc28a4df8fde3f5567cd"><div class="ttname"><a href="structfaiss_1_1IndexIVFPQ.html#a2b14cbb5acb3fc28a4df8fde3f5567cd">faiss::IndexIVFPQ::polysemous_training</a></div><div class="ttdeci">PolysemousTraining * polysemous_training</div><div class="ttdoc">if NULL, use default </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVFPQ_8h_source.html#l00040">IndexIVFPQ.h:40</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_aa0468cf70921073b3ba798fe753531eb"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#aa0468cf70921073b3ba798fe753531eb">faiss::gpu::GpuIndexIVFPQ::addImpl_</a></div><div class="ttdeci">void addImpl_(int n, const float *x, const Index::idx_t *ids) override</div><div class="ttdoc">Called from GpuIndex for add/add_with_ids. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00323">GpuIndexIVFPQ.cu:323</a></div></div>
<div class="ttc" id="structfaiss_1_1InvertedLists_html_a3ab6b389d8d85c5fbf23889064df7e95"><div class="ttname"><a href="structfaiss_1_1InvertedLists.html#a3ab6b389d8d85c5fbf23889064df7e95">faiss::InvertedLists::get_ids</a></div><div class="ttdeci">virtual const idx_t * get_ids(size_t list_no) const =0</div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_a56a552e8c2e29f33c39883145bd7629c"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a56a552e8c2e29f33c39883145bd7629c">faiss::gpu::GpuIndexIVFPQ::GpuIndexIVFPQ</a></div><div class="ttdeci">GpuIndexIVFPQ(GpuResources *resources, const faiss::IndexIVFPQ *index, GpuIndexIVFPQConfig config=GpuIndexIVFPQConfig())</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00023">GpuIndexIVFPQ.cu:23</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFBase_html_a7b1ee21f9919fb077db5e48e91943582"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFBase.html#a7b1ee21f9919fb077db5e48e91943582">faiss::gpu::IVFBase::getListLength</a></div><div class="ttdeci">int getListLength(int listId) const </div><div class="ttdef"><b>Definition:</b> <a href="IVFBase_8cu_source.html#l00198">IVFBase.cu:198</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexFlat_html_a310b00d4443920a855b11276d488c9a7"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexFlat.html#a310b00d4443920a855b11276d488c9a7">faiss::gpu::GpuIndexFlat::getGpuData</a></div><div class="ttdeci">FlatIndex * getGpuData()</div><div class="ttdoc">For internal access. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexFlat_8h_source.html#l00099">GpuIndexFlat.h:99</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a8bc5d8d1cd0dd7b34b3c98a9f76b4a9c"><div class="ttname"><a href="structfaiss_1_1Index.html#a8bc5d8d1cd0dd7b34b3c98a9f76b4a9c">faiss::Index::assign</a></div><div class="ttdeci">void assign(idx_t n, const float *x, idx_t *labels, idx_t k=1)</div><div class="ttdef"><b>Definition:</b> <a href="Index_8cpp_source.html#l00034">Index.cpp:34</a></div></div>
<div class="ttc" id="structfaiss_1_1InvertedLists_html_a9bd256053ee360473842105460fe285f"><div class="ttname"><a href="structfaiss_1_1InvertedLists.html#a9bd256053ee360473842105460fe285f">faiss::InvertedLists::list_size</a></div><div class="ttdeci">virtual size_t list_size(size_t list_no) const =0</div><div class="ttdoc">get the size of a list </div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFBase_html_a02e1e2d080ee31bf7835f89b9f2a13a9"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFBase.html#a02e1e2d080ee31bf7835f89b9f2a13a9">faiss::gpu::IVFBase::reserveMemory</a></div><div class="ttdeci">void reserveMemory(size_t numVecs)</div><div class="ttdoc">Reserve GPU memory in our inverted lists for this number of vectors. </div><div class="ttdef"><b>Definition:</b> <a href="IVFBase_8cu_source.html#l00043">IVFBase.cu:43</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_ab7f77961857e560b4dbb81888a8c8bf8"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#ab7f77961857e560b4dbb81888a8c8bf8">faiss::gpu::GpuIndexIVFPQ::getListLength</a></div><div class="ttdeci">int getListLength(int listId) const </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00365">GpuIndexIVFPQ.cu:365</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFPQ_html_a9d5373633df7a9bec4de69400b9adeed"><div class="ttname"><a href="structfaiss_1_1IndexIVFPQ.html#a9d5373633df7a9bec4de69400b9adeed">faiss::IndexIVFPQ::do_polysemous_training</a></div><div class="ttdeci">bool do_polysemous_training</div><div class="ttdoc">reorder PQ centroids after training? </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVFPQ_8h_source.html#l00039">IndexIVFPQ.h:39</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFPQ_html_a7430fc4fa030c96497abced3b68358d4"><div class="ttname"><a href="structfaiss_1_1IndexIVFPQ.html#a7430fc4fa030c96497abced3b68358d4">faiss::IndexIVFPQ::scan_table_threshold</a></div><div class="ttdeci">size_t scan_table_threshold</div><div class="ttdoc">use table computation or on-the-fly? </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVFPQ_8h_source.html#l00043">IndexIVFPQ.h:43</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFPQ_html_a9b310195d610c3e326471b3758206b59"><div class="ttname"><a href="structfaiss_1_1IndexIVFPQ.html#a9b310195d610c3e326471b3758206b59">faiss::IndexIVFPQ::precomputed_table</a></div><div class="ttdeci">std::vector&lt; float &gt; precomputed_table</div><div class="ttdef"><b>Definition:</b> <a href="IndexIVFPQ_8h_source.html#l00059">IndexIVFPQ.h:59</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFPQ_html_a3093a0a3e128eafce6e0583b75e9662e"><div class="ttname"><a href="structfaiss_1_1IndexIVFPQ.html#a3093a0a3e128eafce6e0583b75e9662e">faiss::IndexIVFPQ::polysemous_ht</a></div><div class="ttdeci">int polysemous_ht</div><div class="ttdoc">Hamming thresh for polysemous filtering. </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVFPQ_8h_source.html#l00044">IndexIVFPQ.h:44</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html">faiss::gpu::GpuResources</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8h_source.html#l00021">GpuResources.h:21</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_af87058de254e1430587a16b76f1e4377"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#af87058de254e1430587a16b76f1e4377">faiss::gpu::GpuIndexIVFPQ::getBitsPerCode</a></div><div class="ttdeci">int getBitsPerCode() const </div><div class="ttdoc">Return the number of bits per PQ code. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00226">GpuIndexIVFPQ.cu:226</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig_html_a9dbbec78d77d90b7b150f543e477cc49"><div class="ttname"><a href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html#a9dbbec78d77d90b7b150f543e477cc49">faiss::gpu::GpuIndexIVFPQConfig::useFloat16LookupTables</a></div><div class="ttdeci">bool useFloat16LookupTables</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8h_source.html#l00030">GpuIndexIVFPQ.h:30</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_a6c564198df6ba675920c993e2af34b8c"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#a6c564198df6ba675920c993e2af34b8c">faiss::gpu::GpuResources::getDefaultStream</a></div><div class="ttdeci">virtual cudaStream_t getDefaultStream(int device)=0</div></div>
<div class="ttc" id="structfaiss_1_1InvertedLists_html"><div class="ttname"><a href="structfaiss_1_1InvertedLists.html">faiss::InvertedLists</a></div><div class="ttdef"><b>Definition:</b> <a href="InvertedLists_8h_source.html#l00031">InvertedLists.h:31</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVF_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVF.html">faiss::gpu::GpuIndexIVF</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVF_8h_source.html#l00035">GpuIndexIVF.h:35</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a2a002388d2c081c2dbab8508dcefe73d"><div class="ttname"><a href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">faiss::Index::d</a></div><div class="ttdeci">int d</div><div class="ttdoc">vector dimension </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00066">Index.h:66</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_ad3f0d3071f987baabbdd3da4500c87ea"><div class="ttname"><a href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">faiss::Index::idx_t</a></div><div class="ttdeci">long idx_t</div><div class="ttdoc">all indices are this type </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00062">Index.h:62</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_ac4814acafa4bc340a4c4bdcafd469b56"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#ac4814acafa4bc340a4c4bdcafd469b56">faiss::gpu::GpuIndexIVFPQ::train</a></div><div class="ttdeci">void train(Index::idx_t n, const float *x) override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00302">GpuIndexIVFPQ.cu:302</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFPQ_html_adb58eeacdceb0e0fde1820ca7f116e05"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFPQ.html#adb58eeacdceb0e0fde1820ca7f116e05">faiss::gpu::IVFPQ::isSupportedPQCodeLength</a></div><div class="ttdeci">static bool isSupportedPQCodeLength(int size)</div><div class="ttdoc">Returns true if we support PQ in this size. </div><div class="ttdef"><b>Definition:</b> <a href="IVFPQ_8cu_source.html#l00070">IVFPQ.cu:70</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_a83831088d9593f753560965172ccb0a0"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a83831088d9593f753560965172ccb0a0">faiss::gpu::GpuIndexIVFPQ::reclaimMemory</a></div><div class="ttdeci">size_t reclaimMemory()</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00236">GpuIndexIVFPQ.cu:236</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig_html"><div class="ttname"><a href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html">faiss::gpu::GpuIndexIVFPQConfig</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8h_source.html#l00021">GpuIndexIVFPQ.h:21</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFPQ_html"><div class="ttname"><a href="structfaiss_1_1IndexIVFPQ.html">faiss::IndexIVFPQ</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexIVFPQ_8h_source.html#l00034">IndexIVFPQ.h:34</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVF_html_a187bdcbbac02bf8fd0e6bb40a1c0426b"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#a187bdcbbac02bf8fd0e6bb40a1c0426b">faiss::gpu::GpuIndexIVF::nprobe_</a></div><div class="ttdeci">int nprobe_</div><div class="ttdoc">Number of inverted list probes per query. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVF_8h_source.html#l00084">GpuIndexIVF.h:84</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_a4e7d62e21f7e23fa4e94c69131389eea"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a4e7d62e21f7e23fa4e94c69131389eea">faiss::gpu::GpuIndexIVFPQ::reserveMemory</a></div><div class="ttdeci">void reserveMemory(size_t numVecs)</div><div class="ttdoc">Reserve GPU memory in our inverted lists for this number of vectors. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00196">GpuIndexIVFPQ.cu:196</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFPQ_html_ab1e07b04b25569cc58c5f3f033f4dab3"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFPQ.html#ab1e07b04b25569cc58c5f3f033f4dab3">faiss::gpu::IVFPQ::classifyAndAddVectors</a></div><div class="ttdeci">int classifyAndAddVectors(Tensor&lt; float, 2, true &gt; &amp;vecs, Tensor&lt; long, 1, true &gt; &amp;indices)</div><div class="ttdef"><b>Definition:</b> <a href="IVFPQ_8cu_source.html#l00118">IVFPQ.cu:118</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFPQ_html_ab0c458aab9a3d903f31b0e63ce16e623"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFPQ.html#ab0c458aab9a3d903f31b0e63ce16e623">faiss::gpu::IVFPQ::query</a></div><div class="ttdeci">void query(Tensor&lt; float, 2, true &gt; &amp;queries, int nprobe, int k, Tensor&lt; float, 2, true &gt; &amp;outDistances, Tensor&lt; long, 2, true &gt; &amp;outIndices)</div><div class="ttdef"><b>Definition:</b> <a href="IVFPQ_8cu_source.html#l00516">IVFPQ.cu:516</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a67750633faa35677ee505a1e61cfe142"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">faiss::gpu::GpuIndex::device_</a></div><div class="ttdeci">const int device_</div><div class="ttdoc">The GPU device we are resident on. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00126">GpuIndex.h:126</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_a8d48f79af9080b55706050244fc24f0e"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a8d48f79af9080b55706050244fc24f0e">faiss::gpu::GpuIndexIVFPQ::copyFrom</a></div><div class="ttdeci">void copyFrom(const faiss::IndexIVFPQ *index)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00078">GpuIndexIVFPQ.cu:78</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFPQ_html_a3e8bff50f894c243c62e832f923e88e7"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFPQ.html#a3e8bff50f894c243c62e832f923e88e7">faiss::gpu::IVFPQ::getPQCentroids</a></div><div class="ttdeci">Tensor&lt; float, 3, true &gt; getPQCentroids()</div><div class="ttdef"><b>Definition:</b> <a href="IVFPQ_8cu_source.html#l00591">IVFPQ.cu:591</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a17b82a8a11783da6eb1b07c9aab98c36"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">faiss::gpu::GpuIndex::resources_</a></div><div class="ttdeci">GpuResources * resources_</div><div class="ttdoc">Manages streams, cuBLAS handles and scratch memory for devices. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00123">GpuIndex.h:123</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVF_html_a1db0a796b8b2917d989952c5f07fbe55"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#a1db0a796b8b2917d989952c5f07fbe55">faiss::gpu::GpuIndexIVF::copyTo</a></div><div class="ttdeci">void copyTo(faiss::IndexIVF *index) const </div><div class="ttdoc">Copy what we have to the CPU equivalent. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVF_8cu_source.html#l00153">GpuIndexIVF.cu:153</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVF_html_a4eb943aeb7df30d44ad9b665452bfcf7"><div class="ttname"><a href="structfaiss_1_1IndexIVF.html#a4eb943aeb7df30d44ad9b665452bfcf7">faiss::IndexIVF::replace_invlists</a></div><div class="ttdeci">void replace_invlists(InvertedLists *il, bool own=false)</div><div class="ttdoc">replace the inverted lists, old one is deallocated if own_invlists </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8cpp_source.html#l00735">IndexIVF.cpp:735</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVF_html_aba606c141e714fab843493cc58167494"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#aba606c141e714fab843493cc58167494">faiss::gpu::GpuIndexIVF::nlist_</a></div><div class="ttdeci">int nlist_</div><div class="ttdoc">Number of inverted lists that we manage. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVF_8h_source.html#l00081">GpuIndexIVF.h:81</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a6970683faa021b7a6f1a0865c0d4eccd"><div class="ttname"><a href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">faiss::Index::ntotal</a></div><div class="ttdeci">idx_t ntotal</div><div class="ttdoc">total nb of indexed vectors </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00067">Index.h:67</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_a73a06501e87117e5f620bb07d7c1e54d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a73a06501e87117e5f620bb07d7c1e54d">faiss::gpu::GpuIndexIVFPQ::searchImpl_</a></div><div class="ttdeci">void searchImpl_(int n, const float *x, int k, float *distances, Index::idx_t *labels) const override</div><div class="ttdoc">Called from GpuIndex for search. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00345">GpuIndexIVFPQ.cu:345</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a5590d847c5c2b958affd2a05e58a6f23"><div class="ttname"><a href="structfaiss_1_1Index.html#a5590d847c5c2b958affd2a05e58a6f23">faiss::Index::verbose</a></div><div class="ttdeci">bool verbose</div><div class="ttdoc">verbosity level </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00068">Index.h:68</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFPQ_html_adcee5dbf48c3cb6b8a67f5f392e155fd"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFPQ.html#adcee5dbf48c3cb6b8a67f5f392e155fd">faiss::gpu::IVFPQ::setPrecomputedCodes</a></div><div class="ttdeci">void setPrecomputedCodes(bool enable)</div><div class="ttdoc">Enable or disable pre-computed codes. </div><div class="ttdef"><b>Definition:</b> <a href="IVFPQ_8cu_source.html#l00100">IVFPQ.cu:100</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFPQ_html_a5b349dd021b11b5f48531825359b0657"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFPQ.html#a5b349dd021b11b5f48531825359b0657">faiss::gpu::IVFPQ::getListCodes</a></div><div class="ttdeci">std::vector&lt; unsigned char &gt; getListCodes(int listId) const </div><div class="ttdoc">Return the list codes of a particular list back to the CPU. </div><div class="ttdef"><b>Definition:</b> <a href="IVFPQ_8cu_source.html#l00583">IVFPQ.cu:583</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_aad10de2407911e9adf42c1be5c5dd390"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#aad10de2407911e9adf42c1be5c5dd390">faiss::gpu::GpuIndexIVFPQ::copyTo</a></div><div class="ttdeci">void copyTo(faiss::IndexIVFPQ *index) const </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00142">GpuIndexIVFPQ.cu:142</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFBase_html_a7ea671876443c93436499ad581f16997"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFBase.html#a7ea671876443c93436499ad581f16997">faiss::gpu::IVFBase::reset</a></div><div class="ttdeci">void reset()</div><div class="ttdef"><b>Definition:</b> <a href="IVFBase_8cu_source.html#l00073">IVFBase.cu:73</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a></div><div class="ttdoc">Our tensor type. </div><div class="ttdef"><b>Definition:</b> <a href="Tensor_8cuh_source.html#l00028">Tensor.cuh:28</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceScope_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceScope.html">faiss::gpu::DeviceScope</a></div><div class="ttdef"><b>Definition:</b> <a href="DeviceUtils_8h_source.html#l00068">DeviceUtils.h:68</a></div></div>
<div class="ttc" id="structfaiss_1_1InvertedLists_html_afaf8b7aa3e846aa4553f6aae67827ec8"><div class="ttname"><a href="structfaiss_1_1InvertedLists.html#afaf8b7aa3e846aa4553f6aae67827ec8">faiss::InvertedLists::nlist</a></div><div class="ttdeci">size_t nlist</div><div class="ttdoc">number of possible key values </div><div class="ttdef"><b>Definition:</b> <a href="InvertedLists_8h_source.html#l00034">InvertedLists.h:34</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_af304169eac7781b573f76d545f37b7d9"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#af304169eac7781b573f76d545f37b7d9">faiss::gpu::GpuIndex::memorySpace_</a></div><div class="ttdeci">const MemorySpace memorySpace_</div><div class="ttdoc">The memory space of our primary storage on the GPU. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00129">GpuIndex.h:129</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFPQ_html_afd13b471df293ae5a6e895704c69a4c3"><div class="ttname"><a href="structfaiss_1_1IndexIVFPQ.html#afd13b471df293ae5a6e895704c69a4c3">faiss::IndexIVFPQ::by_residual</a></div><div class="ttdeci">bool by_residual</div><div class="ttdoc">Encode residual or plain vector? </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVFPQ_8h_source.html#l00035">IndexIVFPQ.h:35</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVF_html_aaa7dd748e3cbd7ef68f2e384ac503eab"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#aaa7dd748e3cbd7ef68f2e384ac503eab">faiss::gpu::GpuIndexIVF::quantizer_</a></div><div class="ttdeci">GpuIndexFlat * quantizer_</div><div class="ttdoc">Quantizer for inverted lists. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVF_8h_source.html#l00087">GpuIndexIVF.h:87</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a8e18f641854b2bde83ecff0a2f9a6f4e"><div class="ttname"><a href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">faiss::Index::metric_type</a></div><div class="ttdeci">MetricType metric_type</div><div class="ttdoc">type of metric this index uses for search </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00074">Index.h:74</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFPQ_html_a007303be116c8da65b6d058e3fc77d16"><div class="ttname"><a href="structfaiss_1_1IndexIVFPQ.html#a007303be116c8da65b6d058e3fc77d16">faiss::IndexIVFPQ::pq</a></div><div class="ttdeci">ProductQuantizer pq</div><div class="ttdoc">produces the codes </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVFPQ_8h_source.html#l00037">IndexIVFPQ.h:37</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVF_html_aa0e8fc5e04cbd8e0dde61f98bc7dd0bc"><div class="ttname"><a href="structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc">faiss::IndexIVF::invlists</a></div><div class="ttdeci">InvertedLists * invlists</div><div class="ttdoc">Acess to the actual data. </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00092">IndexIVF.h:92</a></div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html_a83600e328893ce5f41fe459f5a3acf41"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html#a83600e328893ce5f41fe459f5a3acf41">faiss::ProductQuantizer::M</a></div><div class="ttdeci">size_t M</div><div class="ttdoc">number of subquantizers </div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8h_source.html#l00028">ProductQuantizer.h:28</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_a3869ea7898487334fb67ee499f38988d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a3869ea7898487334fb67ee499f38988d">faiss::gpu::GpuIndexIVFPQ::getNumSubQuantizers</a></div><div class="ttdeci">int getNumSubQuantizers() const </div><div class="ttdoc">Return the number of sub-quantizers we are using. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00221">GpuIndexIVFPQ.cu:221</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFBase_html_a4a4ed220b9433aa788ed32db8f20a9db"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFBase.html#a4a4ed220b9433aa788ed32db8f20a9db">faiss::gpu::IVFBase::getListIndices</a></div><div class="ttdeci">std::vector&lt; long &gt; getListIndices(int listId) const </div><div class="ttdoc">Return the list indices of a particular list back to the CPU. </div><div class="ttdef"><b>Definition:</b> <a href="IVFBase_8cu_source.html#l00205">IVFBase.cu:205</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_a2f50e79af6727962cd89534438d4769e"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a2f50e79af6727962cd89534438d4769e">faiss::gpu::GpuIndexIVFPQ::getCentroidsPerSubQuantizer</a></div><div class="ttdeci">int getCentroidsPerSubQuantizer() const </div><div class="ttdoc">Return the number of centroids per PQ code (2^bits per code) </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00231">GpuIndexIVFPQ.cu:231</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_afda2894c0ce520e0d3d06eeca5ed5f0c"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#afda2894c0ce520e0d3d06eeca5ed5f0c">faiss::gpu::GpuIndexIVFPQ::setPrecomputedCodes</a></div><div class="ttdeci">void setPrecomputedCodes(bool enable)</div><div class="ttdoc">Enable or disable pre-computed codes. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00205">GpuIndexIVFPQ.cu:205</a></div></div>
<div class="ttc" id="structfaiss_1_1InvertedLists_html_a60b12f9efe940b617a8380adceef4032"><div class="ttname"><a href="structfaiss_1_1InvertedLists.html#a60b12f9efe940b617a8380adceef4032">faiss::InvertedLists::get_codes</a></div><div class="ttdeci">virtual const uint8_t * get_codes(size_t list_no) const =0</div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html">faiss::ProductQuantizer</a></div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8h_source.html#l00023">ProductQuantizer.h:23</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVF_html_a94c2c171f9a2d27085dea9101067bdf2"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVF.html#a94c2c171f9a2d27085dea9101067bdf2">faiss::gpu::GpuIndexIVF::copyFrom</a></div><div class="ttdeci">void copyFrom(const faiss::IndexIVF *index)</div><div class="ttdoc">Copy what we need from the CPU equivalent. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVF_8cu_source.html#l00079">GpuIndexIVF.cu:79</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a6e92732617c4dbe364e7678dd8773a7f"><div class="ttname"><a href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">faiss::Index::is_trained</a></div><div class="ttdeci">bool is_trained</div><div class="ttdoc">set if the Index does not require training, or if training is done already </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00071">Index.h:71</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_aaae77608bbda70b1098897e9167a82f9"><div class="ttname"><a href="structfaiss_1_1Index.html#aaae77608bbda70b1098897e9167a82f9">faiss::Index::compute_residual</a></div><div class="ttdeci">void compute_residual(const float *x, float *residual, idx_t key) const </div><div class="ttdef"><b>Definition:</b> <a href="Index_8cpp_source.html#l00086">Index.cpp:86</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVF_html_a7f2dd34f66f8770acba74a0a591fa4a8"><div class="ttname"><a href="structfaiss_1_1IndexIVF.html#a7f2dd34f66f8770acba74a0a591fa4a8">faiss::IndexIVF::max_codes</a></div><div class="ttdeci">size_t max_codes</div><div class="ttdoc">max nb of codes to visit to do a query </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00098">IndexIVF.h:98</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_a679b0aaa229d571aeb842673e3493cc5"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a679b0aaa229d571aeb842673e3493cc5">faiss::gpu::GpuIndexIVFPQ::getPrecomputedCodes</a></div><div class="ttdeci">bool getPrecomputedCodes() const </div><div class="ttdoc">Are pre-computed codes enabled? </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00216">GpuIndexIVFPQ.cu:216</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1GpuIndexIVFConfig_html_af432221761d48e4753f501208a60264d"><div class="ttname"><a href="structfaiss_1_1gpu_1_1GpuIndexIVFConfig.html#af432221761d48e4753f501208a60264d">faiss::gpu::GpuIndexIVFConfig::indicesOptions</a></div><div class="ttdeci">IndicesOptions indicesOptions</div><div class="ttdoc">Index storage options for the GPU. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVF_8h_source.html#l00029">GpuIndexIVF.h:29</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFBase_html_ac9b69e1b2582cb2c064b5fff60d31cc8"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFBase.html#ac9b69e1b2582cb2c064b5fff60d31cc8">faiss::gpu::IVFBase::reclaimMemory</a></div><div class="ttdeci">size_t reclaimMemory()</div><div class="ttdef"><b>Definition:</b> <a href="IVFBase_8cu_source.html#l00103">IVFBase.cu:103</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFPQ_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFPQ.html">faiss::gpu::IVFPQ</a></div><div class="ttdoc">Implementing class for IVFPQ on the GPU. </div><div class="ttdef"><b>Definition:</b> <a href="IVFPQ_8cuh_source.html#l00017">IVFPQ.cuh:17</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVF_html_a46d1aeddb60643c5b3f096147c3e028f"><div class="ttname"><a href="structfaiss_1_1IndexIVF.html#a46d1aeddb60643c5b3f096147c3e028f">faiss::IndexIVF::code_size</a></div><div class="ttdeci">size_t code_size</div><div class="ttdoc">code size per vector in bytes </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00095">IndexIVF.h:95</a></div></div>
<div class="ttc" id="namespacefaiss_html_afd12191c638da74760ff397cf319752c"><div class="ttname"><a href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">faiss::MetricType</a></div><div class="ttdeci">MetricType</div><div class="ttdoc">Some algorithms support both an inner product version and a L2 search version. </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00044">Index.h:44</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFPQ_html_a1c66ff073c18a1edbe8444c24d870583"><div class="ttname"><a href="structfaiss_1_1IndexIVFPQ.html#a1c66ff073c18a1edbe8444c24d870583">faiss::IndexIVFPQ::use_precomputed_table</a></div><div class="ttdeci">int use_precomputed_table</div><div class="ttdoc">if by_residual, build precompute tables </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVFPQ_8h_source.html#l00054">IndexIVFPQ.h:54</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html_a98f0000872701f9f23ac2073723a0aa7"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html#a98f0000872701f9f23ac2073723a0aa7">faiss::gpu::GpuIndexIVFPQ::getListCodes</a></div><div class="ttdeci">std::vector&lt; unsigned char &gt; getListCodes(int listId) const </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8cu_source.html#l00371">GpuIndexIVFPQ.cu:371</a></div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html_aab1109a29ba0544358e274d727b23cae"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html#aab1109a29ba0544358e274d727b23cae">faiss::ProductQuantizer::centroids</a></div><div class="ttdeci">std::vector&lt; float &gt; centroids</div><div class="ttdoc">Centroid table, size M * ksub * dsub. </div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8h_source.html#l00055">ProductQuantizer.h:55</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1IVFPQ_html_a0eedf0295ad73125ee1254173a176674"><div class="ttname"><a href="classfaiss_1_1gpu_1_1IVFPQ.html#a0eedf0295ad73125ee1254173a176674">faiss::gpu::IVFPQ::isSupportedNoPrecomputedSubDimSize</a></div><div class="ttdeci">static bool isSupportedNoPrecomputedSubDimSize(int dims)</div><div class="ttdef"><b>Definition:</b> <a href="IVFPQ_8cu_source.html#l00095">IVFPQ.cu:95</a></div></div>
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